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Multi-Constraints Routing Algorithm Based on Swarm Intelligence over High Altitude Platforms

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Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 129))

Abstract

In this paper a new routing algorithm over a network composed of a mesh of Haps is described. The simulated network models two types of packets, data packets, which are the traditional information packets and ant packets, which are a simple software mobile agents that are useful for collecting info for the problem. In particular, this proposed algorithm focuses on path length minimization and on maximum end-to-end delay bound on the HAPs network.

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Author information

Authors and Affiliations

  1. D.E.I.S Department University of Calabria, Italy, 87036

    F. De Rango, M. Tropea, A. Provato, A. F. Santamaria & S. Marano

Authors
  1. F. De Rango
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  2. M. Tropea
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  3. A. Provato
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  4. A. F. Santamaria
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  5. S. Marano
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Editor information

Editors and Affiliations

  1. School of Computer Sciences and Information Technology, University of Nottingham, Jubilee Campus, Nottingham, NG81BB, UK

    Natalio Krasnogor

  2. Department of Mathematics and Computer Science, University of Catania, v.le A. Doria, 6, 95125, Catania, Italy

    Giuseppe Nicosia  & Mario Pavone  & 

  3. Department of Computer Science and Artificial Intelligence E.T.S. Ingenieria Informatica C/ Periodista Daniel Saucedo Aranda s/n, University of Granada, 18071, Granada, Spain

    David Pelta

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© 2008 Springer-Verlag Berlin Heidelberg

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De Rango, F., Tropea, M., Provato, A., Santamaria, A.F., Marano, S. (2008). Multi-Constraints Routing Algorithm Based on Swarm Intelligence over High Altitude Platforms. In: Krasnogor, N., Nicosia, G., Pavone, M., Pelta, D. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2007). Studies in Computational Intelligence, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78987-1_37

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  • DOI: https://doi.org/10.1007/978-3-540-78987-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78986-4

  • Online ISBN: 978-3-540-78987-1

  • eBook Packages: EngineeringEngineering (R0)

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